This study investigates fashion Artificial Intelligence (AI) curation services to expand sustainable consumption. We analyzed the factors that affect the AI fashion curation service experience of women in their 20s and 30s using their clothes. An online survey was conducted from March 29, 2021, to J...
This study investigates fashion Artificial Intelligence (AI) curation services to expand sustainable consumption. We analyzed the factors that affect the AI fashion curation service experience of women in their 20s and 30s using their clothes. An online survey was conducted from March 29, 2021, to June 4, 2021, for women of the previously mentioned age groups residing in the metropolitan area. Before answering the questionnaire, they installed the "Style Bot" application on their phone, took five or more photos of their clothes according to the manual provided by the application, stored them in a virtual wardrobe on the application, and then responded to the questionnaire using the AI recommended coordinating function. The effect of the properties of fashion AI curation service application on the use of clothes was investigated. Among the attributes of the fashion AI curation service application, convenience, speed, and usefulness were found to have a positive effect on the use of clothes, and promptness had no effect. Second, regarding the impact of clothing utilization on environmental sustainability, clothing utilization was found to have a positive effect on environmental sustainability. Third, environmental sustainability was found to have a positive effect on satisfaction. Fourth, clothing utilization had a positive effect on satisfaction. Thus, fashion AI curation service would help promote service development so that clothes could be used actively through an in-depth understanding of the properties of these services. Finally, the results of this study would contribute to promoting environmental sustainability.
This study investigates fashion Artificial Intelligence (AI) curation services to expand sustainable consumption. We analyzed the factors that affect the AI fashion curation service experience of women in their 20s and 30s using their clothes. An online survey was conducted from March 29, 2021, to June 4, 2021, for women of the previously mentioned age groups residing in the metropolitan area. Before answering the questionnaire, they installed the "Style Bot" application on their phone, took five or more photos of their clothes according to the manual provided by the application, stored them in a virtual wardrobe on the application, and then responded to the questionnaire using the AI recommended coordinating function. The effect of the properties of fashion AI curation service application on the use of clothes was investigated. Among the attributes of the fashion AI curation service application, convenience, speed, and usefulness were found to have a positive effect on the use of clothes, and promptness had no effect. Second, regarding the impact of clothing utilization on environmental sustainability, clothing utilization was found to have a positive effect on environmental sustainability. Third, environmental sustainability was found to have a positive effect on satisfaction. Fourth, clothing utilization had a positive effect on satisfaction. Thus, fashion AI curation service would help promote service development so that clothes could be used actively through an in-depth understanding of the properties of these services. Finally, the results of this study would contribute to promoting environmental sustainability.
This study aims to investigate the AI fashion curation service for the expansion of sustainable consumption. Therefore, for women in their 20s and 30s, factors affecting the experience of using AI fashion curation services to coordinate clothes were analyzed.
제안 방법
Before answering the survey, respondents were asked to install the “Style Bot” application on their mobile phones and follow the manual provided by the application
Confirmatory factor analysis was conducted using AMOS 24.0 to verify the reliability and validity of the measurement variables used in this study (Table 3). Consequently, the fitness index of the measurement model is χ2=387.
Structural equation model analysis was performed to verify the hypotheses presented in this study. Based on the model analysis results, the overall model is relatively suitable (χ2=415.
대상 데이터
This study conducted an online survey in the metropolitan area from March 29, 2021, to June 4, 2021, targeting women in their 20s and 30s. Before answering the survey, respondents were asked to install the “Style Bot” application on their mobile phones and follow the manual provided by the application.
They were then asked to respond to the questionnaire, “Embrain survey,” a professional survey company, was used. The questionnaire was distributed to 200 people, and the responses of 185 people, excluding insincere answers, were used for the final analysis of the study. The results of the analysis of the demographic characteristics of the survey participants are shown in Table 2.
This study analyzed the responses of 185 finalists. The collected data underwent confirmatory factor and structural equation analyses using AMOS 24.
데이터처리
This study analyzed the responses of 185 finalists. The collected data underwent confirmatory factor and structural equation analyses using AMOS 24.0. The demographic characteristics of the samples used in the analysis are as follows: Individuals belonging to the age group 20 to 25 years old comprised 26 (14.
성능/효과
Therefore, this study aims to investigate fashion AI curation services for the expansion of sustainable consumption. The sustainability of clothing is increased by identifying factors affecting the experience of fashion AI curation services using clothes for women in their 20s and 30s. The use of clothes through fashion AI curation is also activated.
In this study, the speed, convenience, and usefulness of the fashion AI curation service and recommendation suitability, which are the most representative attributes of fashion curation services, were defined as attributes of fashion curation services based on previous research.
As corporate economic activities affect consumers' value-oriented lifestyles, interest in the ethics and sustainability of fashion brands is increasing.
This study reveals satisfaction through the clothing utilization and environmental sustainability according to the attributes of the fashion AI curation service following the establishment of the research model (Fig. 1).
Hypothesis 2. The clothing utilization has a positive (+) effect on environmental sustainability.
Hypothesis 3. Environmental sustainability had a positive (+) effect on satisfaction.
Hypothesis 4. The clothing utilization had a positive (+) effect on satisfaction.
2%). Furthermore, the average monthly income for 20 people (10.8%) was less than 500,000 won, 22 people from 500,000 won to less than 1 million won (11.9%), 50 people from 1 million won to less than 3 million won (27.0%), 3 million won to less than 5 million won, 60 people (32.4%), and 33 people (17.8%) with more than 5 million won.
Consequently, the fitness index of the measurement model is χ2=387.589 (df=188, p=).000), χ2/df =2.062, GFI=.849, CFI=.943, RMSEA=
Based on the model analysis results, the overall model is relatively suitable (χ2=415.474, df=195, p=.000, χ2/df=2.131, GFI=.836, CFI=.937, RMSEA=.078)
The use of clothes (β=.698, p<.001) was found to have a significant positive effect on satisfaction; therefore, hypothesis 4 was adopted.
Utilization of clothes (β=.873, p<.001) was found to have a significant positive effect on environmental sustainability; therefore, Hypothesis 2 was adopted
831–938. After checking the discriminant validity, the AVE value of each variable was found to be higher than the square value of the correlation between the two variables, and the discriminant validity was satisfied (Table 4).
a: Average variance extracted (AVE) for constructs is displayed diagonally.
b: Numbers below diagonal are squared correlation estimates of two variables.
In recent fashion applications and sites, we have gone beyond the traditional fashion curation services and demonstrated that product recommendations based on taste, as well as services with various attributes, can be provided. Therefore, the importance of fashion curation is increasing as a new marketing strategy for companies and a service that targets consumer tastes. Furthermore, the scope of sustainable consumption has expanded, with a range of applications being designed to extend the lifespan of clothes.
This study aims to investigate the AI fashion curation service for the expansion of sustainable consumption. Therefore, for women in their 20s and 30s, factors affecting the experience of using AI fashion curation services to coordinate clothes were analyzed. An online survey was conducted from March 29, 2021, to June 4, 2021, targeting women in their 20s and 30s living in the metropolitan area.
Third, the effect of environmental sustainability on satisfaction is investigated. The results indicated that environmental sustainability had a positive effect on satisfaction.
Third, the effect of environmental sustainability on satisfaction is investigated. The results indicated that environmental sustainability had a positive effect on satisfaction. Sustainability has recently become a hot topic in many fields.
Fourth, we found that clothing use had a positive effect on satisfaction. The use of clothing extends its lifespan in various ways without its discarding or disposing.
In this study, by receiving a style that suits one's taste through AI, the customer felt satisfied because the life of his small clothes that were no longer in use was extended and the usage methods were combined in unique ways.
The practical implications of this study are as follows. First, fashion AI curation service users think that the higher the convenience, speed, and usefulness of the service, the better the clothing to be used; therefore, when planning the AI fashion curation service, it is necessary to fully consider these factors and develop the service accordingly. Second, when the fashion AI curation service enables users to conveniently use clothing, their perception of environmental sustainability develops, thereby increasing consumer satisfaction.
First, fashion AI curation service users think that the higher the convenience, speed, and usefulness of the service, the better the clothing to be used; therefore, when planning the AI fashion curation service, it is necessary to fully consider these factors and develop the service accordingly. Second, when the fashion AI curation service enables users to conveniently use clothing, their perception of environmental sustainability develops, thereby increasing consumer satisfaction. Therefore, while developing fashion AI curation services and considering ways to increase consumer environmental sustainability and clothing utilization, it is crucial to develop services that can further increase consumer satisfaction.
Second, when the fashion AI curation service enables users to conveniently use clothing, their perception of environmental sustainability develops, thereby increasing consumer satisfaction. Therefore, while developing fashion AI curation services and considering ways to increase consumer environmental sustainability and clothing utilization, it is crucial to develop services that can further increase consumer satisfaction.
Questions that were not mutually exclusive were removed, and among the convenience questions, “It is easy to register my clothes in this application,” “It is easy to dress my avatar in this application,” and “You can effectively find fashion products in this application,” The factor load of the measurement variable was significant at .694–933, the Cronbach's value of each variable was .829–937, and the AVE value
Convergence validity and internal consistency were confirmed as 623–834, and the CR values were .831–938
후속연구
With production and consumption increasing at a faster rate than Earth's ability to recover from its biocapacity, discussions are underway on sustainable consumption and changes in production
Therefore, this study aims to investigate fashion AI curation services for the expansion of sustainable consumption. The sustainability of clothing is increased by identifying factors affecting the experience of fashion AI curation services using clothes for women in their 20s and 30s.
Additionally, the high occurrence of environmental pollution in the manufacturing and disposal processes of clothing has been recognized by many consumers. Therefore, by receiving recommendations for various curation methods of clothes, they were able to improve environmental sustainability practices and satisfy consumers.
Thus far, most studies have focused on products recommended by humans. However, because this study analyzes the attributes of fashion curation services using AI and consumer satisfaction, it can be the basis for curation research, especially using AI, to develop the rapidly growing curation market. Furthermore, it can contribute to the development of AI fashion curation service research in the future by identifying the service attributes that affect the use of clothing and increase environmental sustainability.
However, because this study analyzes the attributes of fashion curation services using AI and consumer satisfaction, it can be the basis for curation research, especially using AI, to develop the rapidly growing curation market. Furthermore, it can contribute to the development of AI fashion curation service research in the future by identifying the service attributes that affect the use of clothing and increase environmental sustainability.
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